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Google Gives 5 SEO Insights On Google Trends

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Google provides 5 insights about their Trends Tool and SEO

Google published a video that disclosed five insights about Google Trends that could be helpful for SEO, topic research and debugging issues with search rankings. The video was hosted by Daniel Waisberg, a Search Advocate at Google.

1. What Does Google Trends Offer?

Google Trends is an official tool created by Google that shows a representation of how often people search with certain keyword phrases and how those searches have changed over time. It’s not only helpful for discovering time-based changes in search queries but it also segments queries by geographic popularity which is useful for learning who to focus content for (or even to learn what geographic areas may be best to get links from).

This kind of information is invaluable for debugging why a site may have issues with organic traffic as it can show seasonal and consumer trends.

2. Google Trends Only Uses A Sample Of Data

An important fact about Google Trends that Waisberg shared is that the data that Google Trends reports on is based on a statistically significant but random sample of actual search queries.

He said:

“Google Trends is a tool that provides a random sample of aggregated, anonymized and categorized Google searches.”

This does not mean that the data is less accurate. The phrase statistically significant means that the data is representative of the actual search queries.

The reason Google uses a sample is that they have an enormous amount of data and it’s simply faster to work with samples that are representative of actual trends.

3. Google Cleans Noise In The Trends Data

Daniel Waisberg also said that Google cleans the data to remove noise and data that relates to user privacy.

“The search query data is processed to remove noise in the data and also to remove anything that might compromise a user’s privacy.”

An example of private data that is removed is the full names of people. An example of “noise” in the data are search queries made by the same person over and over, using the example of a trivial search for how to boil eggs that a person makes every morning.

That last one, about people repeating a search query is interesting because back in the early days of SEO, before Google Trends existed, SEOs used a public keyword volume tool by Overture (owned by Yahoo). Some SEOs poisoned the data by making thousands of searches for keyword phrases that were rarely queried by users, inflating the query volume, so that competitors would focus on optimizing on the useless keywords.

4. Google Normalizes Google Trends Data?

Google doesn’t show actual search query volume like a million queries per day for one query and 200,000 queries per day for another. Instead Google will select the point where a keyword phrase is searched the most and use that as the 100% mark and then adjust the Google Trends graph to percentages that are relative to that high point. So if the most searches a query gets in a day is 1 million, then a day in which it gets searched 500,000 times will be represented on the graph as 50%. This is what it means that Google Trends data is normalized.

5. Explore Search Queries And Topics

SEOs have focused on optimizing for keywords for over 25 years. But Google has long moved beyond keywords and has been labeling documents by the topics and even by queries they are relevant to (which also relates more to topics than keywords).

That’s why in my opinion one of the most useful offerings is the ability to explore the topic that’s related to the entity of the search query. Exploring the topic shows the query volume of all the related keywords.

The “explore by topic” tool arguably offers a more accurate idea of how popular a topic is, which is important because Google’s algorithms, machine learning systems, and AI models create representations of content at the sentence, paragraph and document level, representations that correspond to topics. I believe that’s what is one of the things referred to when Googlers talk about Core Topicality Systems.

Waisberg explained:

“Now, back to the Explore page. You’ll notice that, sometimes, in addition to a search term, you get an option to choose a topic. For example, when you type “cappuccino,” you can choose either the search term exactly matching “cappuccino” or the “cappuccino coffee drink” topic, which is the group of search terms that relate to that entity. These will include the exact term as well as misspellings. The topic also includes acronyms, and it covers all languages, which can be very useful, especially when looking at global data.

Using topics, you also avoid including terms that are unrelated to your interests. For example, if you’re looking at the trends for the company Alphabet, you might want to choose the Alphabet Inc company topic. If you just type “alphabet,” the trends will also include a lot of other meanings, as you can see in this example.”

Related: 12 Ways to Use Google Trends

The Big Picture

One of the interesting facts revealed in this video is that Google isn’t showing normalized actual search trends, that it’s showing a normalized “statistically significant” sample of the actual search trends. A statistically significant sample is one in which random chance is not a factor and thus represents the actual search trends.

The other noteworthy takeaway is the reminder that Google Trends is useful for exploring topics, which in my opinion is far more useful than Google Suggest and People Also Ask (PAA) data.

I have seen evidence that slavish optimization with Google Suggest and PAA data can make a website appear to be optimizing for search engines and not for people, which is something that Google explicitly cautions against. Those who were hit by the recent Google Updates should think hard about the implications of what their SEO practices in relation to keywords.

Exploring and optimizing with topics won’t behind statistical footprints of optimizing for search engines because the authenticity of content based on topics will always shine through.

Watch the Google Trends video:

Intro to Google Trends data

Featured Image by Shutterstock/Luis Molinero

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Facebook Attracts Gen Z Users While TikTok’s Boomer Audience Grows

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Facebook Attracts Gen Z Users While TikTok's Boomer Audience Grows

According to a recent report by eMarketer, Facebook is experiencing a resurgence among Gen Z users, while TikTok is gaining traction with baby boomers.

Despite these shifts, both platforms maintain a stable core user base.

Facebook’s Gen Z Renaissance

Facebook’s seeing unexpected Gen Z growth despite overall decline. U.S. Gen Z users are projected to increase from 49.0% (33.9M) in 2024 to 56.9% (40.5M) by 2028.

Key drivers:

  1. Utility: Event planning, niche groups, and Marketplace appeal to younger users.
  2. Demo shift: ~36% of Gen Z are still under 18, many just entering the social media space.

E-commerce potential strong: 75.0% of Gen Z Facebook users (15-26) bought on Marketplace last year.

However, Gen Z still trails Gen X and millennials in user numbers and time spent on the platform. Interestingly, time on Facebook is decreasing for users under 55, suggesting a shift in how younger generations interact with the platform.

TikTok’s Boomer Boom

TikTok’s Gen Z market is saturated, but it’s seeing surprising growth among boomers.

Projections show a 10.5% increase in U.S. boomer users next year, from 8.7M to 9.7M.

This modest uptick underscores TikTok’s accessibility and its appeal to older adults who want to stay culturally relevant and connected with younger relatives.

While boomers are the fastest-growing demographic, TikTok adoption rates are rising steadily across all generations, indicating the platform’s broad appeal.

Shifting Social Media Landscape

Facebook use continues to decrease across all generations except Gen Z, highlighting the platform’s evolving role in the social media ecosystem.

This trend, coupled with TikTok’s growth among older users, suggests a blurring of generational lines in social media usage. Platforms that can adapt to changing user demographics while maintaining their core appeal will be best positioned for long-term success.

Implications For Marketers

Platforms and users are constantly changing. Brands must adapt or risk losing ground to competitors.

TikTok’s boomer growth opens up new avenues for brands targeting older demographics, but marketers should be mindful of the platform’s primarily young user base.

For Facebook marketers, the growing Gen Z user base presents new opportunities, especially in e-commerce via Marketplace. However, decreasing time spent on the platform means content needs to be more engaging and targeted.

Action items:

  1. Audit strategy: Check content appeal across age groups and platforms.
  2. Diversify: Create multi-faceted strategies for different demographics while maintaining brand identity.
  3. Leverage analytics: Track engagement by age group and adjust tactics.
  4. Test and optimize: Experiment with content formats and messaging for each platform.
  5. Stay current: Follow platform updates and demographic trends.

Stay flexible and update strategies as user demographics and preferences change.

Brands that can reach across generations while respecting platform-specific norms will likely see the most success in this changing landscape.


Screenshot from: Halfpoint/Shutterstock

 

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Google Confirms Robots.txt Can’t Prevent Unauthorized Access

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Google Confirms Robots.txt Can't Prevent Unauthorized Access

Google’s Gary Illyes confirmed a common observation that robots.txt has limited control over unauthorized access by crawlers. Gary then offered an overview of access controls that all SEOs and website owners should know.

Common Argument About Robots.txt

Seems like any time the topic of Robots.txt comes up there’s always that one person who has to point out that it can’t block all crawlers.

Gary agreed with that point:

“robots.txt can’t prevent unauthorized access to content”, a common argument popping up in discussions about robots.txt nowadays; yes, I paraphrased. This claim is true, however I don’t think anyone familiar with robots.txt has claimed otherwise.”

Next he took a deep dive on deconstructing what blocking crawlers really means. He framed the process of blocking crawlers as choosing a solution that inherently controls or cedes control to a website. He framed it as a request for access (browser or crawler) and the server responding in multiple ways.

He listed examples of control:

  • A robots.txt (leaves it up to the crawler to decide whether or not to crawl).
  • Firewalls (WAF aka web application firewall – firewall controls access)
  • Password protection

Here are his remarks:

“If you need access authorization, you need something that authenticates the requestor and then controls access. Firewalls may do the authentication based on IP, your web server based on credentials handed to HTTP Auth or a certificate to its SSL/TLS client, or your CMS based on a username and a password, and then a 1P cookie.

There’s always some piece of information that the requestor passes to a network component that will allow that component to identify the requestor and control its access to a resource. robots.txt, or any other file hosting directives for that matter, hands the decision of accessing a resource to the requestor which may not be what you want. These files are more like those annoying lane control stanchions at airports that everyone wants to just barge through, but they don’t.

There’s a place for stanchions, but there’s also a place for blast doors and irises over your Stargate.

TL;DR: don’t think of robots.txt (or other files hosting directives) as a form of access authorization, use the proper tools for that for there are plenty.”

Use The Proper Tools To Control Bots

There are many ways to block scrapers, hacker bots, search crawlers, visits from AI user agents and search crawlers. Aside from blocking search crawlers, a firewall of some type is a good solution because they can block by behavior (like crawl rate), IP address, user agent, and country, among many other ways. Typical solutions can be at the server level with something like Fail2Ban, cloud based like Cloudflare WAF, or as a WordPress security plugin like Wordfence.

Read Gary Illyes post on LinkedIn:

robots.txt can’t prevent unauthorized access to content

Featured Image by Shutterstock/Ollyy

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Video Advertising Metrics & Brand Advertising With Greg Jarboe

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Video Advertising Metrics & Brand Advertising With Greg Jarboe

Last week Greg Jarboe wrote an article for SEJ covering insights from the 2024 IAB Digital Video Ad Spend & Strategy Report which was the second part of a two-part report.

The first part reported that overall spending on digital video advertising in the U.S. is projected to grow 16% and that in the last four years, the share of ad spend has shifted to 52% of the total market share in the U.S.

US Digital video ad revenues are expected to reach $63 billion in 2024.

From the second part of the report, what stood out was the shift in measurement metrics for video from reach to business outcomes. According to Cintia Gabilan, IAB’s VP of the Media Center:

“But now business outcomes are the most important metrics to assess success, with reach and frequency coming in second. However, measurement is not yet where it needs to be. Two-thirds of buyers cite issues across nine key areas of measurement.”

Alphabet (Google) has also just announced their quarterly earnings – and out of this was the insight that Brand advertising – rather than direct response is driving YouTube revenue.

To discuss this and to throw insight into why this is important and why he was “shocked” about these changes, I reached out to Greg to get his thoughts.

Greg started out as a director of corporate communications in the 90s when websites were called “new media.”

And, he has worked with video marketing since the mid-2000s. He has followed the development and uptake of video in online marketing and SEO for the last 15 years.

Why Video Advertising Metrics Have Shifted

I asked Greg why he was shocked that brand advertising is driving YouTube revenue and then, why he was shocked about the shift in video advertising metrics.

Greg said,

“I’ve been following this trend for at least 15 years, if not longer, and it was one of those things where I wondered how come nobody else saw this.

Too many American brands and agencies were still hung up on the television era and all the metrics they used were just fine for measuring TV reach and frequency.

They might have occasionally layered in a bit of engagement if they were sophisticated because they knew online video allowed for likes, shares, or comments. But they were mostly using what I would call marketing outputs to measure their success.

Back then, a few of us Pioneers were saying no, focusing on business outcomes. But, that sort of advice wasn’t being taken up very often. Now, suddenly, a majority of brands and agencies are using business outcomes to measure success.

My theory is that a majority are now using the ability in YouTube to set your business goal for your video ad campaign. Amongst the available settings are awareness and consideration, website traffic, leads, or sales.

So, if you let artificial intelligence say ‘okay, if that’s your goal then here’s where we want to display your video ad’, then you are focusing on business outcomes. Not because you have taken advice about making that choice, but because you’re allowing AI to give you the best practice and make that choice for you.

I’m shocked that people are finally doing the right thing, but I’m suspicious that they don’t know they’re doing the right thing or why. They are simply taking advantage of the new AI capabilities that Google is rolling out.”

Why Video Advertising Revenue Is Shifting To Brand Advertising

I then asked Greg to explain why brand advertising is shifting more revenue to YouTube.

Greg said,

“Connected Television (CTV) has basically swept aside linear TV, and more than half of the ad dollars have now moved to CTV. When you’re advertising on CTV, your goal is awareness or consideration. This shift is probably as big as the advent of mobile advertising was 15 or more years ago.

Connected Television is now shifting ad dollars. What this means is that a lot of advertisers, both on the client and agency sides, are now using AI to steer money that used to go from terrestrial TV to YouTube. YouTube has huge reach in the UK as well as the US, and that’s brand advertising.”

The conversation shifted to TikTok, which is now dominant among emerging demographics like Gen Z. If it doesn’t become outright banned in the US, TikTok is going to continue to have a growing influence over audiences.

I asked Greg, how we can start to embrace this shift in measurement metrics for TikTok? How can we apply business outcomes to TikTok?

Greg responded by saying,

“TikTok shared research, that highlighted the buyer journey as a loop rather than a straight line. Everyone knows the customer journey is not a straight line, but TikTok emphasized the looping process, including discovery and consideration phases.

Too many marketers still work with the metaphor of the sales funnel, which was invented in 1924. The customer journey does not travel straight down a funnel; it loops.

SEOs and content marketers must understand where the customer needs to find their content during discovery and evaluation modes.

This means creating content that captures interest and builds a relationship over time until the customer decides to do business with them.”

I asked Greg,

“How can SEOs and content marketers produce the kind of content needed for this process?”

His response was that this was hard. He went on to say that digital marketers need to unlearn what they have learned, and that’s really hard for marketing professionals to do because it’s not how things worked last year.

Greg said,

“But it’s not last year anymore. The really good agencies, brands, marketers, SEOs, and others are constantly adapting.

One of the things I learned when writing my book, “YouTube and Video Marketing,” is that the landscape changes constantly. I had to go back and revise early chapters before I could turn back to writing later chapters.”

Greg’s final advice was to avoid using books as a source of learning:

“The book publishing process is too slow; any book you pick up is probably already outdated. Stick to fresh information from online industry news publishers to stay updated.”

Unlearn Everything You Knew Before And Learn Again

If video advertisers are inadvertently selecting the goals for their campaigns through AI, or if they are actively making that choice, video advertising is finally shifting to be focused on business outcomes.

It appears that the industry might be moving away from the historical influence of television-era metrics and becoming more sophisticated with their measurement.

What marketers need to consider is that everything they have relied on previously is now changing. What worked last year is no longer working.

We are seeing this across the entire spectrum of SEO and online marketing with everything in flux as the influence of AI integrates and becomes established.

The advice is to unlearn what you relied on before and learn again and don’t rely on outdated information.

Everything is changing faster than it can be printed so make sure you turn to sources that are as up-to-date as possible.

Thank you to Greg Jarboe for offering his opinion and being my guest on IMHO.

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